What all tests have in common is that we need

What all tests have in common is that we need to formulate a null and alternative hypothesis before we analyze any data. The alternative hypothesis typically represents the effect, or result, we believe is true, and the null hypothesis represents a comparison point.

For this discussion, I would like you to come up with an informal hypothesis (“your idea”) related to any area of business and write a formal null and alternative hypothesis that represents this idea. The hypothesis can be related to, e.g., consumers, advertising claims, employee behavior, or outcomes in the manufacturing process. In your post, I would like you to first describe your idea and why you think it may be interesting, and then present your set of formal null and alternative hypotheses.

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